Yong Yin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Yong Yin has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Ikou Kaku
Department of Management Science and Engineering, Akita Prefectural University, Yulihonjo, Akita 015-0055, Japan
14 shared publications - Jiafu Tang
Dongbei University of Finance and Economics (DUFE)
14 shared publications - JianMing Zhu
Central University of Finance and Economics
14 shared publications Lan Hu
Graduate School of Economics and Management, Tohoku University , Kawauchi, Aoba-ku, Sendai 980-8576, Japan
2 shared publicationsChenGuang Liu
School of Economics and Management, Xi'an University of Technology, Xi'an City, Shaanxi Province 710048, P.R. China
1 shared publication- ChenGuang Liu
School of Economics and Management, Xi’an University of Technology, Xi’an, China.; Institute for Manufacturing, University of Cambridge, Cambridge, UK
1 shared publication
Latest Publications
- 22 April 2013
- Published by Wiley in International Transactions in Operational Research
- Vol. 21 (1) , 1-19
An implementation framework for seru production
Seru production, which merges the flexibility of job shops, efficiency of mass production, and environment friendly characteristics of sustainable manufacturing, largely for electronics assembly, is the latest manufacturing mode developed in Japan. It is receiving attention from Japanese practitioners and researchers. However, some attempts to implement seru production are unsuccessful, especially outside Japan. This is because of lack of knowledge of the specific means to implement seru production. The purpose of this paper is to provide a general framework and some basic principles that should be followed while implementing seru production for practitioners from a practical perspective. This work is based on a systematic analysis of many implementation experiences of seru production in Japanese manufacturing factories as well as a broad investigation of the popular literature information. The proposed framework can serve as a concise guide to help implement seru production in the manufacturing industry. In addition, constructive information is provided for researchers who would like to know and study the advanced manufacturing mode of seru production but do not understand the Japanese language.
- 22 April 2013
- Published by Wiley in International Transactions in Operational Research
- Vol. 21 (1) , 1-19
An implementation framework for seru production
Seru production, which merges the flexibility of job shops, efficiency of mass production, and environment friendly characteristics of sustainable manufacturing, largely for electronics assembly, is the latest manufacturing mode developed in Japan. It is receiving attention from Japanese practitioners and researchers. However, some attempts to implement seru production are unsuccessful, especially outside Japan. This is because of lack of knowledge of the specific means to implement seru production. The purpose of this paper is to provide a general framework and some basic principles that should be followed while implementing seru production for practitioners from a practical perspective. This work is based on a systematic analysis of many implementation experiences of seru production in Japanese manufacturing factories as well as a broad investigation of the popular literature information. The proposed framework can serve as a concise guide to help implement seru production in the manufacturing industry. In addition, constructive information is provided for researchers who would like to know and study the advanced manufacturing mode of seru production but do not understand the Japanese language.
- 17 February 2012
- Published by Taylor & Francis in Production Planning & Control
- Vol. 25 (3) , 203-219
Product architecture, product development process, system integrator and product global performance
In this article, we characterise the impact of product global performance on the choice of product architecture during the new product development (NPD) process. We classify product architectures into three categories: modular (neither interface is geometrically nested) integral (all interfaces are geometrically nested) and hybrid (some, but not all interfaces are geometrically nested). Existing studies show that the choice of a product architecture during the NPD process is a crucially strategic decision for a manufacturing firm. However, no single architecture is optimal in all cases, thus analytical models are required to identify and discuss specific trade-offs associated with the choice of the optimal architecture under different circumstances. This article develops analytical models that obtain a product's global performance through a modular/hybrid/integral architecture. Trade-offs between costs and expected benefits from different product architectures are analysed and compared. Multifunction products and small size are used as examples to formalise the models and show the impact of the global performance characteristics. We also investigate how optimal architecture changes in response to the exogenous costs of system integrators. Some empirical implications obtained from this study show that if the global performance benefit is sufficiently large, then modular architecture is an absolutely sub-optimal decision and integral architecture is an all-the-time candidate for optimal architecture.
- 17 February 2012
- Published by Taylor & Francis in Production Planning & Control
- Vol. 25 (3) , 203-219
Product architecture, product development process, system integrator and product global performance
In this article, we characterise the impact of product global performance on the choice of product architecture during the new product development (NPD) process. We classify product architectures into three categories: modular (neither interface is geometrically nested) integral (all interfaces are geometrically nested) and hybrid (some, but not all interfaces are geometrically nested). Existing studies show that the choice of a product architecture during the NPD process is a crucially strategic decision for a manufacturing firm. However, no single architecture is optimal in all cases, thus analytical models are required to identify and discuss specific trade-offs associated with the choice of the optimal architecture under different circumstances. This article develops analytical models that obtain a product's global performance through a modular/hybrid/integral architecture. Trade-offs between costs and expected benefits from different product architectures are analysed and compared. Multifunction products and small size are used as examples to formalise the models and show the impact of the global performance characteristics. We also investigate how optimal architecture changes in response to the exogenous costs of system integrators. Some empirical implications obtained from this study show that if the global performance benefit is sufficiently large, then modular architecture is an absolutely sub-optimal decision and integral architecture is an all-the-time candidate for optimal architecture.
- 1 January 2011
- Published by Springer Nature
- p. 157-205
Application of Cluster Analysis to Cellular Manufacturing
- 1 January 2011
- Published by Springer Nature
- p. 157-205
Application of Cluster Analysis to Cellular Manufacturing
- 1 January 2011
- Published by Springer Nature
- p. 133-155
Product Architecture and Product Development Process for Global Performance
- 1 January 2011
- Published by Springer Nature
- p. 133-155
Product Architecture and Product Development Process for Global Performance
- 1 January 2011
- Published by Springer Nature
- p. 87-100
Neural Network and Self-organizing Maps
- 1 January 2011
- Published by Springer Nature
- p. 55-86
Genetic Algorithm-based Fuzzy Nonlinear Programming
- 1 January 2011
- Published by Springer Nature
- p. 55-86
Genetic Algorithm-based Fuzzy Nonlinear Programming
- 1 January 2011
- Published by Springer Nature
- p. 25-54
Fuzzy Modeling and Optimization: Theory and Methods
- 1 January 2011
- Published by Springer Nature
- p. 25-54
Fuzzy Modeling and Optimization: Theory and Methods